Dynamic mode decomposition in vector-valued reproducing kernel Hilbert
spaces for extracting dynamical structure among observables

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Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables

30 August 2018

Yoshinobu Kawahara

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Papers citing "Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables"

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Title
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model A. Tavasoli T. Henry Heman Shakeri 81 4 0 01 Aug 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 156 423 0 24 Feb 2021
Data-driven Analysis for Understanding Team Sports Behaviors Keisuke Fujii AI4TS AI4CE 71 27 0 15 Feb 2021
Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics Tomoharu Iwata Yoshinobu Kawahara 63 12 0 11 Dec 2020
Unsupervised and Generic Short-Term Anticipation of Human Body Motions Kristina Enes Hassan Errami Moritz Wolter Tim Krake B. Eberhardt A. Weber Jorg Zimmermann OOD 54 2 0 13 Dec 2019
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data Akitoshi Masuda Y. Susuki Manel Martínez-Ramón A. Mammoli A. Ishigame 33 3 0 04 Nov 2019
Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces Isao Ishikawa A. Tanaka Masahiro Ikeda Yoshinobu Kawahara 62 2 0 17 Jun 2019
Physically-interpretable classification of biological network dynamics for complex collective motions Keisuke Fujii Naoya Takeishi Motokazu Hojo Yuki Inaba Yoshinobu Kawahara 110 11 0 13 May 2019